Evidence map›Paper›PMID 42094146›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Co-expressed MicroRNAs Associated with An Elevated Psychometabolic Risk Phenotype in Women during Midlife.

Kayla D Longoria, Benjamin M Stroebel, Meghana Gadgil, Nicole Perez, Kimberly A Lewis, Sandra Weiss, Elena Flowers

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Kayla D LongoriaDepartment of Physiological Nursing, University of California, San Francisco, CA.ORCID 0000-0002-3621-388X
Benjamin M StroebelDepartment of Physiological Nursing, University of California, San Francisco, CA.ORCID 0000-0001-6415-5034
Meghana GadgilDepartment of Medicine, University of California, San Francisco, CA.
Nicole PerezRory Meyers College of Nursing, New York University, New York, NY.
Kimberly A LewisUCLA Health, University of California Los Angeles, Los Angeles, CA.ORCID 0000-0002-2590-8627
Sandra WeissDepartment of Community Health Systems, University of California, San Francisco, CA.
Elena FlowersDepartment of Physiological Nursing, University of California, San Francisco, CA.ORCID 0000-0002-7054-7533

Funding

The Impact of Interventions to Treat Incident Diabetes on Circulating microRNAs in the Diabetes Prevention ProgramR01DK124228 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FLOWERS, ELENA · 2020 to 2023
$2.3M
Empirically Based Career Development Program for Historically Under-Represented Early Career Trainees Supported by NIDDKUE5DK137286 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Elena Flowers · 2023 to 2026
$635k
NIDDK NIH HHS R01 DK124228NIDDK NIH HHS UE5 DK137286
6 · The paper itself

Abstract

Introduction: The bidirectional relationship between depression and type 2 diabetes (T2D) is well-established. Women are disproportionately affected by their co-occurrence, particularly during midlife, yet sex- and age-specific studies on phenotypic and mechanistic factors underlying risk for their co-occurrence are limited. The purpose of this study was to identify combined risk profiles (i.e., depression, T2D) in women during midlife and to determine if microRNAs (miRs) that are associated with high-risk profiles provide mechanistic insights into multimorbidity. Materials and Methods: This study included baseline data from women during midlife (ages 40-64 years) who participated in the Diabetes Prevention Program (DPP) (n = 603). Unsupervised k-means clustering was used to identify multimorbid risk profiles. Clinical characteristics included for risk profiling included Beck Depression Inventory (BDI-I), age, BMI, waist circumference, triglycerides, high HDL, FBG, and HbA1c. Associations between risk profiles and individual miRs and principal components of co-expressed miRs were determined via logistic regression models adjusted for participant race and ethnicity. False discovery rate (q< 0.05) was used to control for multiple comparisons. Results: Two distinct profiles were identified, with the high-risk profile characterized by younger age yet higher adiposity, glycemic biomarkers, and depression symptom burden compared to the low-risk profile. MiR-320a and miR-320c were associated with increased odds of high-risk profile assignment, and a co-expression cluster enriched for miRs belonging to the miR-320 family (PC3) was significantly associated with increased odds of high-risk profile assignment. Across all models, Black race demonstrated at least threefold higher odds of high-risk profile assignment. Discussion: These findings highlight distinct multimorbid risk profiles in women during midlife, emphasizing the potential utility of integrated, multidimensional approaches for risk stratification. Findings also revealed mechanisms that may underly risk for co-occurrence of T2D and depression in women during midlife and potential therapeutic targets for prevention and treatment.

Identifiers

PMID42094146
PMCPMC13142571

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.